Artificial intelligence in smart drug delivery systems: a step toward personalized medicine

Abstract

One of the most interesting applications of artificial intelligence is in the design of drug delivery systems. Smart drug delivery systems can transfer drugs to specific tissues and cells, enhancing therapeutic effects while reducing undesirable side effects. Attention is focused on the main concepts and techniques of AI such as machine learning, deep learning, and genetic algorithms. In addition to this, genetic algorithms can be used for the selection of the best numerical models, which are able to predict biological processes or optimize the activity of new drugs. Besides the powerful impact of AI on drug design, its combination with new biotechnologies for personalized medicine, sometimes called theragnostics, brings novel diagnostic tools together with targeted therapy, which could ensure quality and effectiveness during clinical research on new drugs. Artificial intelligence (AI) techniques are finding their application in almost all disciplines, with particular success in healthcare. AI-based algorithms can solve complex problems related to diagnosis, prediction, control, and prevention of diseases that are beyond the scope of human abilities. At the same time, the Internet of Things (IoT) revolution has added value to the healthcare sector. The resulting combination of IoT and AI platforms presents a promising fusion to provide healthcare delivery innovations like digital drug delivery, online healthcare consultancy platforms, and virtual healthcare assistants. Personalized medicine is well-suited, regardless of potential disadvantages, to creating drug delivery systems that can respond to the exact needs and other special requirements of patients. The development of smart drug delivery systems is a potential response to the unimodal properties of drugs and the discordance between patient requirements and patient outcomes achieved by currently prescribed medications. The potential and actual positive economic and health-related impacts of advanced drug delivery technologies have created strong demand for new advanced delivery forms.